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Virtual Grid Engine: a simulated grid engine environment for large-scale supercomputers

Overview of attention for article published in BMC Bioinformatics, December 2019
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2 X users

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5 Mendeley
Title
Virtual Grid Engine: a simulated grid engine environment for large-scale supercomputers
Published in
BMC Bioinformatics, December 2019
DOI 10.1186/s12859-019-3085-x
Pubmed ID
Authors

Satoshi Ito, Masaaki Yadome, Tatsuo Nishiki, Shigeru Ishiduki, Hikaru Inoue, Rui Yamaguchi, Satoru Miyano

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Other 1 20%
Student > Master 1 20%
Unknown 2 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Computer Science 1 20%
Agricultural and Biological Sciences 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 December 2019.
All research outputs
#18,701,252
of 23,177,498 outputs
Outputs from BMC Bioinformatics
#6,379
of 7,344 outputs
Outputs of similar age
#337,171
of 459,103 outputs
Outputs of similar age from BMC Bioinformatics
#189
of 237 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,344 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 459,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.